Founding ML Engineer (AI)

TL;DR

Founding ML Engineer (AI): Building and optimizing lifelike conversational voice systems with an accent on state-of-the-art TTS models and ultra-low latency inference. Focus on experimenting with new architectures, pushing speech quality boundaries, and shaping the company's technical direction.

Location: Onsite in San Francisco Bay Area, San Francisco

Company

hirify.global is creating the most lifelike conversational voice systems to augment human-computer interaction, led by an experienced team from MIT, Google, and Microsoft.

What you will do

• Train state-of-the-art TTS models.
• Experiment with new architectures for prosody, expressiveness, and multilingual support.
• Optimize inference for ultra-low latency and scalability.
• Measure and push boundaries on speech quality (e.g., MOS, intelligibility, naturalness).
• Engage directly with customers to integrate feedback into product improvements.
• Contribute heavily to the architectural roadmap, ensuring systems are robust, flexible, and future-proof.

Requirements

• Experience in end-to-end ML application development, including data engineering, model tuning, and model serving.
• Strong expertise in TTS models, with prior experience training or fine-tuning large-scale models for speech synthesis.
• Familiarity with speech quality evaluation (MOS, intelligibility, expressiveness, latency).
• Prior experience with audio processing pipelines, vocoders (e.g., HiFi-GAN, WaveRNN), or speech-to-speech systems.
• Strong understanding of ML development technologies such as Pytorch, Transformers, CUDA.

Nice to have

• Enjoy moving fast and making a large business impact.

Culture & Benefits

• Competitive salary and equity.
• Health, dental, and vision insurance.
• Bonuses based on performance.
• Commitment to providing support to immigrant workers.
• Team values empathy, deep technical knowledge, and autonomy.